Dispersive liquid-liquid microextraction for the quantification of venlafaxine in environmental waters
The present work describes a new methodology for the detection of the antidepressant venlafaxine (VEN) in aquatic environments using dispersive liquid-liquid microextraction followed by high performance liquid chromatography with fluorescence detection (DLLME-HPLC-FLD). The method developed is fast,...
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Veröffentlicht in: | Journal of environmental management 2018-07, Vol.217, p.71-77 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The present work describes a new methodology for the detection of the antidepressant venlafaxine (VEN) in aquatic environments using dispersive liquid-liquid microextraction followed by high performance liquid chromatography with fluorescence detection (DLLME-HPLC-FLD). The method developed is fast, low cost, easy to apply, uses a small volume of organic solvents and allows the simultaneous extraction of various samples. The DLLME-HPLC-FLD method presented a linearity range from 25 to 1500 ng L−1, a detection limit of 24.2 ± 0.2 ng L−1, and an enrichment factor of 75 ± 4. Recovery tests using solutions of NaCl and humic acids showed that ionic strength and organic matter do not influence the efficiency of the extraction, with extraction recoveries above 77%. Finally, the optimized method was applied to the analysis of water samples from different origins and VEN was only detected in one water sample obtained from a waste water treatment plant (WWTP), which had a concentration of 175 ± 5 ng L−1. Recovery tests performed in environmental aquatic samples demonstrated that the developed extraction procedure is not influenced by the complex water matrices, with results ranging from 76 to 93%.
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•DLLME–HPLC–FLD was developed to quantify venlafaxine in water samples.•Limit of detection of 24.2 ± 0.2 ng L−1 was achieved.•Enrichment factor was 75 ± 4.•Good recovery results, from of 76%–93%, were obtained.•Venlafaxine was only detected in WWTP sample with 175 ± 5 ng L−1. |
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ISSN: | 0301-4797 1095-8630 |
DOI: | 10.1016/j.jenvman.2018.03.060 |